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Data Science
Course Duration: 4 Months

Data Science

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About this course

Data Science Program

This immersive program is designed to prepare students for a career in data science while equipping them with the knowledge and skills required to use industry tools and apply them in real-world applications.

These skills are commanding significantly higher salaries as data science is revolutionizing the world around us. However, most developers and IT professionals have not yet learned this valuable set of skills. In this course, you’ll be provided with a high-level understanding of what data science is, why it’s important, and where these trends appear to be going. First, you’ll discover key data science trends like data analytics. Next, you’ll explore the Internet of Things and Big Data. Finally, you’ll learn about machine learning.

By the end of this course, you’ll have a better understanding of data science and the tools, technologies, and trends driving the data science revolution.

This course shows you how to work on an end-to-end data science project including processing data, building & evaluating machine learning models, and exposing the model as an API in a standardized approach using various Python libraries.

Modules

1. Data Science: The Big Picture (1.5Hrs-2hrs)
•Course Overview
•Introduction
•Data Analytics
•Internet of Things
•Big Data
•Machine Learning
•Closing the Loop

2. Artificial Intelligence: The Big Picture of AI (1hr)
•Artificial Intelligence
•History of A.I.
•Modern A.I.
•A.I. and I.T.
•Future of A.I.
•Conclusion

3. Data Analytics: Hands-On (5hrs)•Excel Basics
•Massaging Data in Excel
•Analyzing Data in Excel
•Databases Overview
•Intro to SQL
•Intro to Data Modeling
•Data Warehousing Basics
•Visualizing Data in Charts
•Building Charts in Tableau
•Presenting Findings

4. Doing Data Science with Python (9hr – 11hrs)
•Course Introduction
•Setting up Working Environment
•Extracting Data
•Exploring and Processing Data – Part 1
•Exploring and Processing Data – Part 2
•Exploring and Processing Data – Part 3
•Building and Evaluating Predictive Models – Part 1
•Building and Evaluating Predictive Models – Part 2

5. Matplotlib for Data Visualization and Python: Getting Started (3hs – 4hrs)
•Course Overview
•Visualization with Python and Data Science
•Getting Started with Matplotlib
•Customizing Visualizations
•Creating Advanced Visualization with Matplotlib
•Interactive Content with Matplotlib
•Embedding Matplotlib

6. Analyzing Business Requirements for Data Science(1.5-2hrs)
•Determining if Data Science Is an Appropriate Fit for the Organization
•Quantifying the Business Problem

7. Introduction to Data Warehousing and Business Intelligence(3hrs)
•Course Overview
•Introduction to Data Warehousing / Business Intelligence
•Data Warehousing and Business Intelligence Implemented

8. Getting Started with Power BI (5hrs)
•Introducing Power BI
•Getting Data
•Transforming Data
•Modeling Data for Analysis
•Enhancing the Data Model
•Visualizing Data
•Refreshing Data

9. Building Your First Machine Learning Solution(4hrs)
•Getting Your Feet Ready to Run
•Feeding Your Machine Learning Pipeline
•Understanding the Overall Data Trends
•Making Your Data Ready for the ML Model
•Implementing Your Regression Solution

Key Features

  1. Get Trained by technology experts.
  2. Experience of working standards and management of the corporate world
  3. Internship certificate
  4. 5+ Real-time project training
  5. In-house hiring/Placement assistance

Tools Covered

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Get a peek through the entire curriculum designed that ensures 100% Job Placement Support.

Certification

Placements

Upcoming Batches

Training Type Location Enroll
Online Pune, Amravati Enroll Now

Course Fee

We provide three different ways to pay, tailored to fit your budget needs. All prices in INR

One Shot Plan

₹42000


45000

Discount 2000

One Time Pay

2 Month EMI Plan

₹22500

EMI

2 EMI

Monthly  ₹22500

3 Month EMI Plan

15000

EMI

3 EMI

Monthly ₹15000

Syllabus

Course Duration: 4 Months

Members

Our course begins with the first step for generating great user experiences: understanding what people do, think, say, and feel. In this module, you’ll learn how to keep an open mind while learning.

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